Temperature and Salinity Workup

Initial conclusions/questions:

1) Gotta throw out most, if not all EELD1 salinity data. I think these instruments ended up in the mud. Keep the StarOddi temp data from this station.

2) RBR seems more accurate than Star Oddi* (e.g fewer big dips in salinity/conductivity), but still has a scatter of questionable conductivity data. There’s no “cup” to be fouled by sediment, so what is happening?

3) Some of the “non-anomoulus” data I would still throw out. After talking to Tim, this data should be left in but “flagged” in a new column.

Compare instrument types (color points) to YSI data (black points)

EWLD1 and KALD1 could use calibration

Difference in readings between instruments

calibrate EWLD1 and KALD1 using YSI data

T vs S to check for erroneous data

What to remove (“anom” data is below TS line givin instrument precision)

## [1] "SO error: T=0.1, Cond=1.5 mS/cm, RBR error: T=0.002, Cond=0.01 mS/cm"

#Choose datasets to use in final table ##color=StarOddi, black=RBR ##use KALD1 calibrated for Temp and Cond, EWLD1 calibrated for Cond

Next step = Flagging data

Values below freezing line (with error) are flagged “INV” for Invalid

Values that are outliers, or appear to be instrument malfunction (as determined by a trained human) are flagged “QM” for Questionable Measurement

Finalize tables

write.csv(RBR_final, "results/BLE LTER RBRCTD 2018to2019.csv")
write.csv(SO_final, "results/BLE LTER StarOddiCST 2018to2019.csv")